You are here: Home
/ Publication Information
Title: Adjusting forest density estimates for surveyor bias in historical tree surveys
Author: Hanberry, Brice B.; Yang, Jian; Kabrick, John M.; He, Hong S.;
Source: The American Midland Naturalist. 167: 285-306.
Publication Series: Scientific Journal (JRNL)
Description: The U.S. General Land Office surveys, conducted between the late 1700s to early 1900s, provide records of trees prior to widespread European and American colonial settlement. However, potential and documented surveyor bias raises questions about the reliability of historical tree density estimates and other metrics based on density estimated from these records. In this study, we present two complementary approaches to adjust density estimates for possible surveyor bias. We addressed the problem of surveyor bias of density estimates by simulating the effects of (1) rank of selected trees (compared to assuming the nearest trees were selected) and (2) specific surveyor bias in selection of (a) quadrant location, (b) quadrant configuration, (c) azimuth, and (d) combined species and diameter. We then developed regression equations to calculate adjustment quotients for these biases, making the adjustment quotients transferable to any similar datasets.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
- This publication may be available in hard copy. Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
XML: View XML
Hanberry, Brice B.; Yang, Jian; Kabrick, John M.; He, Hong S. 2012. Adjusting forest density estimates for surveyor bias in historical tree surveys. The American Midland Naturalist. 167: 285-306.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility